Methods and models in neurophysics Méthodes et modèles en neurophysique : École d'été de physique des Houches, session LXXX, 28 July-29 August 2003, NATO Advanced Study Institute, École thématique du CNRS
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Bibliographic Information
Methods and models in neurophysics = Méthodes et modèles en neurophysique : École d'été de physique des Houches, session LXXX, 28 July-29 August 2003, NATO Advanced Study Institute, École thématique du CNRS
Elsevier, 2005
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Les Houches Session LXXX
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Library, Research Institute for Mathematical Sciences, Kyoto University数研
C-P||Les Houches||2003.705017821
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Hokkaido University, Library, Graduate School of Science, Faculty of Science and School of Science図書
DC22:612.804/C4592080023271
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At head of title: École d'été de physique des Houches
Includes bibliographical references
Other editors: B. Gutkin, D. Hansel, C. Meunier and J. Dalibard
Description and Table of Contents
Description
Neuroscience is an interdisciplinary field that strives to understand the functioning of neural systems at levels ranging from biomolecules and cells to behaviour and higher brain functions (perception, memory, cognition). Neurophysics has flourished over the past three decades, becoming an indelible part of neuroscience, and has arguably entered its maturity. It encompasses a vast array of approaches stemming from theoretical physics, computer science, and applied mathematics. This book provides a detailed review of this field from basic concepts to its most recent development.
Table of Contents
1. E. Marder, Experimenting with theory
2. A. Borysuk and J. Rinzel, Understanding neuronal dynamics by geometrical dissection of minimal models
3. D.Terman, Geometry singular perturbation analysis of neuronal dynamics
4. G. Mato, Theory of neural synchrony
5. M. Shelley, Some useful numerical techniques for simulating integrate-and-fire networks
6. D. Golomb, Propagation of pulses in cortical networks: the single-spike approximation
7. M. Tsodyks, Activity-dependent transmission in neocortical synapses
8. H. Sompolinsky and J. White, Theory of large recurrent networks: from spikes to behavior
9. C. van Vreeswijk, Irregular activity in large networks of neurons
10. N. Brunel, Network models of memory
11. P. Bressloff, Pattern formation in visual cortex
12. F. Wolf, Symmetry breaking and pattern selection in visual cortical development
13. A. Treves and Y. Roudi, On the evolution of the brain
14. E. Brown, Theory of point processes for neural systems
15. C. Pouzat, Technique(s) for spike sorting
16. N. Tishby, The emergence of relevant data representations: an information theoretic approach
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